Inferring Gene Regulatory Network from Bayesian Network Model Based on Re-sampling

Abstract

Abstrak IntroductionReconstructing gene regulatory networks [1], [2] has the important biological significance. Rapid development of sequencing and computer technology has lead to the complete sequencing and annotation of many important model organisms. In order to understand the functioning of an organism, the major step is to identify which genes are expressed, under what conditions and to what extent. But gene expression is a complex process regulated at several stages in the synthesis of proteins, the identification of genes whose products function together in the cell is a major task of post genomic approaches. Genes encode transcription factors, signaling proteins and proteins involve in the phosphorylation of other proteins can all have an effects on gene expression, and hence on the expression levels of other genes. A gene regulatory network is the graphical abstract representation of these interactions.Recent advances in high-throughput DNA microarrays